K2view Dynamic Data Virtualization
K2view Dynamic Data Virtualization provides a semantic layer for applications and analysts working across underlying data sources.
What K2view Dynamic Data Virtualization is
K2view Dynamic Data Virtualization provides a semantic layer for applications and analysts working across underlying data sources. It groups source tables around business entities such as customers, products, and loans, then unifies, transforms, enriches, and masks the resulting data. Teams choose which information remains virtual and which is persisted in Micro-Databases, helping manage freshness, query performance, source-system load, enrichment, and change history. Data is available through APIs or JDBC and can be delivered through streaming or messaging. K2view lists adapters for relational and non-relational databases and file systems, and says distributed or complex queries across disparate sources can return in sub-second response times. AI-assisted setup can suggest entity roots, create logical schemas from metadata and patterns, and recommend virtualization or persistence. Fabric runs on customer-managed Kubernetes infrastructure on-premises or in AWS, GCP, or Azure. Pricing is on request, with a 30-day trial.
Good
- Semantic layer organized around business entities
- Virtualize or persist data selectively
- APIs, JDBC, streaming, and messaging access
- Adapters for databases and file systems
- Customer-managed Kubernetes deployment
Watch out
- Pricing is available only on request
- No free plan
Who it suits
It suits organizations that need governed business data and context for critical systems, applications, analytics, or testing. Teams wanting customer-managed Kubernetes deployment and multiple data-access methods may find it relevant.
Verdict
K2view Dynamic Data Virtualization is designed for enterprise data environments that need unified, governed access across varied sources. Its selective persistence, entity model, and self-hosted deployment provide control over data handling and delivery.
Plans and prices
From K2view Dynamic Data Virtualization's own pricing page, checked 3 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| K2view Dynamic Data Virtualization | Priced on request | Pricing not stated on the pages reviewed |
The facts
Each one read from K2view Dynamic Data Virtualization's own pages, with the date it was checked.
What it does
- Access methods
- Data can be pulled through APIs or JDBC and pushed through data streaming or messaging methods.checked 3 Oct 2026
- AI-assisted setup
- AI-assisted setup can recommend entity roots, build logical schemas from source metadata and patterns, and recommend which data to virtualize or persist.checked 3 Oct 2026
- Business entities
- Its logical abstraction layer groups relevant source tables around business entities such as customers, products, and loans.checked 3 Oct 2026
- Connectors
- K2view says it provides adapters for relational and non-relational databases and file systems.checked 3 Oct 2026
- Deployment
- K2view documents Fabric deployments on customer-managed Kubernetes infrastructure, including on-premises and AWS, GCP, or Azure environments.checked 3 Oct 2026
- Performance
- The product page says distributed queries and complex queries across disparate sources can return in sub-second response times.checked 3 Oct 2026
- Purpose
- K2view Dynamic Data Virtualization provides a semantic layer that unifies, transforms, enriches, and masks data from underlying sources for consuming applications and analysts.checked 3 Oct 2026
- Security certifications
- K2view's security page states that it is SOC 2 Type 2 certified and compliant with GDPR and CCPA, and says it uses the Bouncy Castle Java stack for FIPS 140-2 compliance.checked 3 Oct 2026
- Selective persistence
- Data teams can choose which data to virtualize and which to persist in Micro-Databases to manage freshness, query performance, source-system load, enrichment, and change history.checked 3 Oct 2026
- Self-hosted data control
- For its self-hosted Kubernetes model, K2view states that customer data, services, and integrations remain in the customer environment and that K2view does not access customer data.checked 3 Oct 2026
- Support
- K2view's support site offers a knowledge base, training academy, user community, and ticket submission.checked 3 Oct 2026
- Who it serves
- K2view describes its platform as delivering governed business data and context for organizations' critical systems, applications, analytics, and testing.checked 3 Oct 2026
The company
- Company history
- K2view's company page says it was founded in 2009 to address complex enterprise data migration challenges.checked 3 Oct 2026
- Founded
- 2009checked 28 Sep 2026
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